Modules avx512: Difference between revisions

Modules avx512 (view source)

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 | align="center" | bio
 | align="center" | 3.0.4
-| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: BayesAss: Bayesian Inference of Recent Migration Using Multilocus Genotypes Homepage: http://www.rannala.org/?page_id=245 Keyword:bio<br /><br /><br /></div>
+| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: BayesAss: Bayesian Inference of Recent Migration Using Multilocus Genotypes Homepage: http://www.rannala.org/?page_id=245 URL: http://www.rannala.org/?page_id=245 Keyword:bio<br /><br /><br /></div>
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 | align="center" | [http://www.rannala.org/inference-of-recent-migration bayesass3-snps]
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 | align="center" | -
 | align="center" | 3.3.2, 3.3.8
-| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: GLFW is an Open Source, multi-platform library for OpenGL, OpenGL ES and Vulkan development on the desktop Homepage: https://www.glfw.org URL: https://www.glfw.org<br /><br /><br /></div>
+| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: GLFW is an Open Source, multi-platform library for OpenGL, OpenGL ES and Vulkan development on the desktop Homepage: https://www.glfw.org URL: https://www.glfw.org Compatible modules: python/3.10, python/3.10, python/3.10, python/3.10, python/3.11, python/3.11, python/3.11, python/3.11 Extensions: glfw-2.6.2<br /><br /><br /></div>
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 | align="center" | [https://ccb.jhu.edu/software/glimmerhmm glimmerhmm]
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 | align="center" | math
 | align="center" | 4.0.3, 5.1.0
-| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: METIS is a set of serial programs for partitioning graphs, partitioning finite element meshes, and producing fill reducing orderings for sparse matrices. The algorithms implemented in METIS are based on the multilevel recursive-bisection, multilevel k-way, and multi-constraint partitioning schemes. Homepage: http://glaros.dtc.umn.edu/gkhome/metis/metis/overview Keyword:math<br /><br /><br /></div>
+| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: METIS is a set of serial programs for partitioning graphs, partitioning finite element meshes, and producing fill reducing orderings for sparse matrices. The algorithms implemented in METIS are based on the multilevel recursive-bisection, multilevel k-way, and multi-constraint partitioning schemes. Homepage: http://glaros.dtc.umn.edu/gkhome/metis/metis/overview URL: http://glaros.dtc.umn.edu/gkhome/metis/metis/overview Keyword:math<br /><br /><br /></div>
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 | align="center" | [http://glaros.dtc.umn.edu/gkhome/metis/metis/overview metis-64idx]
@@ Line 3,158: / Line 3,158: @@
 | align="center" | bio
 | align="center" | 3.23, 4.0.0beta2
-| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: MUMmer is a system for rapidly aligning entire genomes, whether in complete or draft form. AMOS makes use of it. Homepage: http://mummer.sourceforge.net/ Keyword:bio<br /><br /><br /></div>
+| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: MUMmer is a system for rapidly aligning entire genomes, whether in complete or draft form. AMOS makes use of it. Homepage: http://mummer.sourceforge.net/ URL: http://mummer.sourceforge.net/ Keyword:bio<br /><br /><br /></div>
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 | align="center" | [https://graal.ens-lyon.fr/MUMPS/ mumps-metis]
@@ Line 3,603: / Line 3,603: @@
 | align="center" | chem
 | align="center" | 7.1.1, 7.4.1, 7.5.0, 7.6.0, 7.7.0, 8.0.0
-| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: OpenMM is a toolkit for molecular simulation. Homepage: http://openmm.org URL: http://openmm.org Compatible modules: python/3.8, python/3.9, python/3.10 Extensions: pdbfixer-1.8.1 Keyword:chem<br /><br /><br /></div>
+| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: OpenMM is a toolkit for molecular simulation. Homepage: http://openmm.org URL: http://openmm.org Compatible modules: python/3.10, python/3.11 Extensions: pdbfixer-1.8.1 Keyword:chem<br /><br /><br /></div>
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 | align="center" | [http://openmm.org openmm-alphafold]
@@ Line 4,158: / Line 4,158: @@
 | align="center" | geo
 | align="center" | 1.0
-| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: proj4-fortran is a f77 and f90 wrappers for proj4, a cartograohic projections library. Homepage: https://github.com/mhagdorn/proj4-fortran Keyword:geo<br /><br /><br /></div>
+| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: proj4-fortran is a f77 and f90 wrappers for proj4, a cartograohic projections library. Homepage: https://github.com/mhagdorn/proj4-fortran URL: https://github.com/mhagdorn/proj4-fortran Keyword:geo<br /><br /><br /></div>
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 | align="center" | [https://www.vicbioinformatics.com/software.prokka.shtml prokka]
@@ Line 4,462: / Line 4,462: @@
 | align="center" | [https://repast.github.io/ repasthpc]
 | align="center" | bio
-| align="center" | 2.0, 2.2.0, 2.3.0
+| align="center" | 2.2.0, 2.3.0
 | <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: The Repast Suite is a family of advanced, free, and open source agent-based modeling and simulation platforms that have collectively been under continuous development for over 15 years: Repast for High Performance Computing 2.2.0, released on 30 September 2016, is a lean and expert-focused C++-based modeling system that is designed for use on large computing clusters and supercomputers. Homepage: https://repast.github.io/ URL: https://repast.github.io/ Keyword:bio<br /><br /><br /></div>
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@@ Line 5,123: / Line 5,123: @@
 | align="center" | -
 | align="center" | 6.0.1.5, 8.6.1.6
-| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: NVIDIA TensorRT is a platform for high-performance deep learning inference Homepage: https://developer.nvidia.com/tensorrt URL: https://developer.nvidia.com/tensorrt Compatible modules: python/3.8, python/3.9, python/3.10, python/3.11<br /><br /><br /></div>
+| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: NVIDIA TensorRT is a platform for high-performance deep learning inference Homepage: https://developer.nvidia.com/tensorrt URL: https://developer.nvidia.com/tensorrt Compatible modules: python/3.10, python/3.11<br /><br /><br /></div>
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 | align="center" | [https://github.com/tesseract-ocr/tesseract tesseract]